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- research-articleJanuary 2021
Hybrid privacy preservation model for big data publishing on cloud
International Journal of Advanced Intelligence Paradigms (IJAIP), Volume 20, Issue 3-4Pages 343–355https://doi.org/10.1504/ijaip.2021.119022Cloud computing has gained popularity since the user can share a large amount of data through the cloud servers. Cloud servers provide services to a large number of users simultaneously. The third party users access the information provided by the ...
- research-articleJanuary 2020
A privacy preservation model for big data in map-reduced framework based on k-anonymisation and swarm-based algorithms
International Journal of Intelligent Engineering Informatics (IJIEI), Volume 8, Issue 1Pages 38–53https://doi.org/10.1504/ijiei.2020.105433In recent years, two mainstream technologies have become the centre of IT world, big data and cloud computing. Both these fields are fundamentally different but used together generally. The big-data deals with huge scales of data however cloud-computing ...
- articleMarch 2008
An efficient clustering algorithm for k-anonymisation
Journal of Computer Science and Technology (JCST), Volume 23, Issue 2Pages 188–202https://doi.org/10.1007/s11390-008-9121-3K-anonymisation is an approach to protecting individuals from being identified from data. Good k-anonymisations should retain data utility and preserve privacy, but few methods have considered these two conflicting requirements together. In this paper, ...